wg-backend-django/acer-env/lib/python3.10/site-packages/django/contrib/postgres/search.py

import psycopg2

from django.db.models import (
    CharField,
    Expression,
    Field,
    FloatField,
    Func,
    Lookup,
    TextField,
    Value,
)
from django.db.models.expressions import CombinedExpression, register_combinable_fields
from django.db.models.functions import Cast, Coalesce


class SearchVectorExact(Lookup):
    lookup_name = "exact"

    def process_rhs(self, qn, connection):
        if not isinstance(self.rhs, (SearchQuery, CombinedSearchQuery)):
            config = getattr(self.lhs, "config", None)
            self.rhs = SearchQuery(self.rhs, config=config)
        rhs, rhs_params = super().process_rhs(qn, connection)
        return rhs, rhs_params

    def as_sql(self, qn, connection):
        lhs, lhs_params = self.process_lhs(qn, connection)
        rhs, rhs_params = self.process_rhs(qn, connection)
        params = lhs_params + rhs_params
        return "%s @@ %s" % (lhs, rhs), params


class SearchVectorField(Field):
    def db_type(self, connection):
        return "tsvector"


class SearchQueryField(Field):
    def db_type(self, connection):
        return "tsquery"


class SearchConfig(Expression):
    def __init__(self, config):
        super().__init__()
        if not hasattr(config, "resolve_expression"):
            config = Value(config)
        self.config = config

    @classmethod
    def from_parameter(cls, config):
        if config is None or isinstance(config, cls):
            return config
        return cls(config)

    def get_source_expressions(self):
        return [self.config]

    def set_source_expressions(self, exprs):
        (self.config,) = exprs

    def as_sql(self, compiler, connection):
        sql, params = compiler.compile(self.config)
        return "%s::regconfig" % sql, params


class SearchVectorCombinable:
    ADD = "||"

    def _combine(self, other, connector, reversed):
        if not isinstance(other, SearchVectorCombinable):
            raise TypeError(
                "SearchVector can only be combined with other SearchVector "
                "instances, got %s." % type(other).__name__
            )
        if reversed:
            return CombinedSearchVector(other, connector, self, self.config)
        return CombinedSearchVector(self, connector, other, self.config)


register_combinable_fields(
    SearchVectorField, SearchVectorCombinable.ADD, SearchVectorField, SearchVectorField
)


class SearchVector(SearchVectorCombinable, Func):
    function = "to_tsvector"
    arg_joiner = " || ' ' || "
    output_field = SearchVectorField()

    def __init__(self, *expressions, config=None, weight=None):
        super().__init__(*expressions)
        self.config = SearchConfig.from_parameter(config)
        if weight is not None and not hasattr(weight, "resolve_expression"):
            weight = Value(weight)
        self.weight = weight

    def resolve_expression(
        self, query=None, allow_joins=True, reuse=None, summarize=False, for_save=False
    ):
        resolved = super().resolve_expression(
            query, allow_joins, reuse, summarize, for_save
        )
        if self.config:
            resolved.config = self.config.resolve_expression(
                query, allow_joins, reuse, summarize, for_save
            )
        return resolved

    def as_sql(self, compiler, connection, function=None, template=None):
        clone = self.copy()
        clone.set_source_expressions(
            [
                Coalesce(
                    expression
                    if isinstance(expression.output_field, (CharField, TextField))
                    else Cast(expression, TextField()),
                    Value(""),
                )
                for expression in clone.get_source_expressions()
            ]
        )
        config_sql = None
        config_params = []
        if template is None:
            if clone.config:
                config_sql, config_params = compiler.compile(clone.config)
                template = "%(function)s(%(config)s, %(expressions)s)"
            else:
                template = clone.template
        sql, params = super(SearchVector, clone).as_sql(
            compiler,
            connection,
            function=function,
            template=template,
            config=config_sql,
        )
        extra_params = []
        if clone.weight:
            weight_sql, extra_params = compiler.compile(clone.weight)
            sql = "setweight({}, {})".format(sql, weight_sql)
        return sql, config_params + params + extra_params


class CombinedSearchVector(SearchVectorCombinable, CombinedExpression):
    def __init__(self, lhs, connector, rhs, config, output_field=None):
        self.config = config
        super().__init__(lhs, connector, rhs, output_field)


class SearchQueryCombinable:
    BITAND = "&&"
    BITOR = "||"

    def _combine(self, other, connector, reversed):
        if not isinstance(other, SearchQueryCombinable):
            raise TypeError(
                "SearchQuery can only be combined with other SearchQuery "
                "instances, got %s." % type(other).__name__
            )
        if reversed:
            return CombinedSearchQuery(other, connector, self, self.config)
        return CombinedSearchQuery(self, connector, other, self.config)

    # On Combinable, these are not implemented to reduce confusion with Q. In
    # this case we are actually (ab)using them to do logical combination so
    # it's consistent with other usage in Django.
    def __or__(self, other):
        return self._combine(other, self.BITOR, False)

    def __ror__(self, other):
        return self._combine(other, self.BITOR, True)

    def __and__(self, other):
        return self._combine(other, self.BITAND, False)

    def __rand__(self, other):
        return self._combine(other, self.BITAND, True)


class SearchQuery(SearchQueryCombinable, Func):
    output_field = SearchQueryField()
    SEARCH_TYPES = {
        "plain": "plainto_tsquery",
        "phrase": "phraseto_tsquery",
        "raw": "to_tsquery",
        "websearch": "websearch_to_tsquery",
    }

    def __init__(
        self,
        value,
        output_field=None,
        *,
        config=None,
        invert=False,
        search_type="plain",
    ):
        self.function = self.SEARCH_TYPES.get(search_type)
        if self.function is None:
            raise ValueError("Unknown search_type argument '%s'." % search_type)
        if not hasattr(value, "resolve_expression"):
            value = Value(value)
        expressions = (value,)
        self.config = SearchConfig.from_parameter(config)
        if self.config is not None:
            expressions = (self.config,) + expressions
        self.invert = invert
        super().__init__(*expressions, output_field=output_field)

    def as_sql(self, compiler, connection, function=None, template=None):
        sql, params = super().as_sql(compiler, connection, function, template)
        if self.invert:
            sql = "!!(%s)" % sql
        return sql, params

    def __invert__(self):
        clone = self.copy()
        clone.invert = not self.invert
        return clone

    def __str__(self):
        result = super().__str__()
        return ("~%s" % result) if self.invert else result


class CombinedSearchQuery(SearchQueryCombinable, CombinedExpression):
    def __init__(self, lhs, connector, rhs, config, output_field=None):
        self.config = config
        super().__init__(lhs, connector, rhs, output_field)

    def __str__(self):
        return "(%s)" % super().__str__()


class SearchRank(Func):
    function = "ts_rank"
    output_field = FloatField()

    def __init__(
        self,
        vector,
        query,
        weights=None,
        normalization=None,
        cover_density=False,
    ):
        if not hasattr(vector, "resolve_expression"):
            vector = SearchVector(vector)
        if not hasattr(query, "resolve_expression"):
            query = SearchQuery(query)
        expressions = (vector, query)
        if weights is not None:
            if not hasattr(weights, "resolve_expression"):
                weights = Value(weights)
            expressions = (weights,) + expressions
        if normalization is not None:
            if not hasattr(normalization, "resolve_expression"):
                normalization = Value(normalization)
            expressions += (normalization,)
        if cover_density:
            self.function = "ts_rank_cd"
        super().__init__(*expressions)


class SearchHeadline(Func):
    function = "ts_headline"
    template = "%(function)s(%(expressions)s%(options)s)"
    output_field = TextField()

    def __init__(
        self,
        expression,
        query,
        *,
        config=None,
        start_sel=None,
        stop_sel=None,
        max_words=None,
        min_words=None,
        short_word=None,
        highlight_all=None,
        max_fragments=None,
        fragment_delimiter=None,
    ):
        if not hasattr(query, "resolve_expression"):
            query = SearchQuery(query)
        options = {
            "StartSel": start_sel,
            "StopSel": stop_sel,
            "MaxWords": max_words,
            "MinWords": min_words,
            "ShortWord": short_word,
            "HighlightAll": highlight_all,
            "MaxFragments": max_fragments,
            "FragmentDelimiter": fragment_delimiter,
        }
        self.options = {
            option: value for option, value in options.items() if value is not None
        }
        expressions = (expression, query)
        if config is not None:
            config = SearchConfig.from_parameter(config)
            expressions = (config,) + expressions
        super().__init__(*expressions)

    def as_sql(self, compiler, connection, function=None, template=None):
        options_sql = ""
        options_params = []
        if self.options:
            # getquoted() returns a quoted bytestring of the adapted value.
            options_params.append(
                ", ".join(
                    "%s=%s"
                    % (
                        option,
                        psycopg2.extensions.adapt(value).getquoted().decode(),
                    )
                    for option, value in self.options.items()
                )
            )
            options_sql = ", %s"
        sql, params = super().as_sql(
            compiler,
            connection,
            function=function,
            template=template,
            options=options_sql,
        )
        return sql, params + options_params


SearchVectorField.register_lookup(SearchVectorExact)


class TrigramBase(Func):
    output_field = FloatField()

    def __init__(self, expression, string, **extra):
        if not hasattr(string, "resolve_expression"):
            string = Value(string)
        super().__init__(expression, string, **extra)


class TrigramWordBase(Func):
    output_field = FloatField()

    def __init__(self, string, expression, **extra):
        if not hasattr(string, "resolve_expression"):
            string = Value(string)
        super().__init__(string, expression, **extra)


class TrigramSimilarity(TrigramBase):
    function = "SIMILARITY"


class TrigramDistance(TrigramBase):
    function = ""
    arg_joiner = " <-> "


class TrigramWordDistance(TrigramWordBase):
    function = ""
    arg_joiner = " <<-> "


class TrigramWordSimilarity(TrigramWordBase):
    function = "WORD_SIMILARITY"